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1

Alex, Solomonoff, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Accuracy and speed in computing the Chebyshev collocation derivative. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1991.

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2

Rivlin, Theodore J. Chebyshev polynomials: From approximation theory toalgebra and number theory. 2nd ed. New York: Wiley, 1990.

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3

Bernd, Fischer. Chebyshev polynomials are not always optimal. [Moffett Field, CA]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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4

Freund, Roland W. On the constrained Chebyshev approximation problem on ellipses. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1988.

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5

Rivlin, Theodore J. Chebyshev polynomials: From approximation theory to algebra and number theory. 2nd ed. New York: Wiley, 1990.

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6

Some investigations in minimax estimation theory. Warszawa: Państwowe Wydawn. Nauk., 1985.

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7

Freund, Roland W. New Bernstein type inequalitites for polynomials on ellipses. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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8

Kowalski, Andrzej. Zastosowanie wielomianów Czebyszewa do analizy światłowodów cylindrycznych. Warszawa: Wydawnictwa Politdchniki Warszawskiej, 1992.

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9

Hillel, Tal-Ezer, and Langley Research Center, eds. Modified Chebyshev pseudospectral method with O (N) time step restriction. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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10

Németh, Géza. Mathematical approximation of special functions: Ten papers on Chebyshev expansions. New York: Nova Science Publishers, 1992.

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11

Research Institute for Advanced Computer Science (U.S.), ed. Explicitly solvable complex Chebyshev approximation problems related to sine polynomials. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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12

Németh, Géza. Mathematical approximation of special functions: Ten papers on Chebyshev expansions. New York: Nova Science Publishers, 1992.

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13

Freund, Roland W. On Bernstein type inequalities and a weighted Chebyshev approximation problem on ellipses. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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14

C, Canuto, Maday Yvon, and Institute for Computer Applications in Science and Engineering, eds. Generalized INF-SUP condition for Chebyshev approximation of the Navier-Stokes equations. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

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15

C, Canuto, Maday Yvon, and Institute for Computer Applications in Science and Engineering, eds. Generalized INF-SUP condition for Chebyshev approximation of the Navier-Stokes equations. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1986.

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16

Bernardi, Christine. Generalized inf-sup condition for Chebyshev approximation of the Navier-Stokes equations. Hampton, Va: ICASE, 1986.

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17

Bernd, Fischer. Optimal Chebyshev polynomials on ellipses in the complex plane. [Moffett Field, CA]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1989.

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18

Kopriva, David A. A conservative staggered-grid Chebyshev multidomain method for compressible flows. Hampton, Va: Langley Research Center, 1995.

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19

Center, Langley Research, ed. A conservative staggered-grid chebyshev multidomain method for compressible flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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20

N, Krasovskiĭ N., ed. Minimaksnye neravenstva i uravnenii͡a︡ Gamilʹtona-I͡A︡kobi. Moskva: "Nauka", 1991.

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21

Demʹi͡anov, V. F. Introduction to minimax. New York: Dover Publications, 1990.

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22

Pinelli, A. A two dimensional Chebyshev collocated multi-domain algorithm for the incompressible Navier-Stokes equations. Rhode Saint Genèse, Belgium: Von Karman Institute for Fluid Dynamics, 1993.

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23

Pinelli, A. A two dimensional Chebyshev collocated multi-domain algorithm for the incompressible Navier-Stokes equations. Rhode Saint Genese, Belgium: von Karman Institute for Fluid Dynamics, 1993.

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24

Gallopoulos, E. J. On the parallel solution of parabolic equations. [Moffett Field, Calif.]: NASA Ames Research Center, Research Institute for Advanced Computer Science, 1989.

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25

Center, Langley Research, ed. The pseudo-inverse of the derivative operator in polynomial spectral methods: NASA contract no. NAS1-19480. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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26

Center, Langley Research, ed. The pseudo-inverse of the derivative operator in polynomial spectral methods: NASA contract no. NAS1-19480. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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27

Center, Langley Research, ed. The pseudo-inverse of the derivative operator in polynomial spectral methods: NASA contract no. NAS1-19480. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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28

Abdelmalek, Nabih N. Numerical linear approximation in C. Boca Raton: CRC Press, 2008.

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29

Korostelev, A. P. Minimax theory of image reconstruction. New York: Springer-Verlag, 1993.

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30

Kitahara, Kazuaki. Spaces of approximating functions with Haar-like conditions. Berlin: Springer-Verlag, 1994.

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31

Lončarić, J. The pseudo-inverse of the derivative operator in polynomial spectral methods. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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32

K, Binienda Wieslaw, and Lewis Research Center, eds. Analysis of an interface crack for a functionally graded strip sandwiched between two homogeneous layers of finite. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1999.

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33

Center, Langley Research, ed. The pseudo-inverse of the derivative operator in polynomial spectral methods: NASA contract no. NAS1-19480. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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34

Institute for Computer Applications in Science and Engineering., ed. Spectral solution of the viscous blunt body problem. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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35

Gottlieb, David. On the Gibbs phenomenon V: Recovering exponential accuracy from collocation point values of a piecewise analyytic function. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1994.

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36

K, Kapania Rakesh, Barthelemy Jean-Francois M, and United States. National Aeronautics and Space Administration., eds. Sensitivity analysis of flutter response of a wing incorporating finite-span corrections. [Washington, DC: National Aeronautics and Space Administration, 1994.

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37

Don, Wai-Sun. A multi-domain spectral method for supersonic reactive flows. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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38

David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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39

David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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40

David, Gottlieb, Jung Jae-Hun, and Institute for Computer Applications in Science and Engineering., eds. A multi-domain spectral method for supersonic reactive flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, National Aeronautics and Space Administration, Langley Research Center, 2002.

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41

H, Brézis, ed. Morse theory, minimax theory and their applications to nonlinear differential equations: [lectures] held at Morningside Center of Mathematics, Chinese Academy of Sciences, Beijing, April 1st to September 30th, 1999. Somerville, Mass: International Press, 2003.

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42

H, Brezis, ed. Morse Theory, Minimax Theory and Their Applications to Nonlinear Differential Equations: Held at Morningside Center of Mathematics, Chinese Academy of Sciences, Beijing, April 1st to September 30th, 1999. Somerville, Mass: International Press, 2003.

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43

Tadmor, Eitan. Spectral methods for time dependent problems. Hampton, Va: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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44

Quadrature imposition of compatability conditions in Chebyshev methods. Hampton, VA: Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1990.

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45

Salzer, Herbert E., Norman Levine, and Saul Serben. Tables for Lagrangian Interpolation Using Chebyshev Points. Applied Science Pubn, 1988.

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46

Mathematical Approximation of Special Functions: Ten Papers on Chebyshev Expansions. Nova Science Publishers, 1992.

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47

Chebyshev Polynomials : from Approximation Theory to Algebra and Number Theory: Second Edition. Dover Publications, Incorporated, 2020.

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48

A conservative staggered-grid chebyshev multidomain method for compressible flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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49

A conservative staggered-grid chebyshev multidomain method for compressible flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1995.

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50

Nonlinear Optimization in Finite Dimensions: Morse Theory, Chebyshev Approximation, Transversality, Flows, Parametric Aspects. Springer, 2014.

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